





'''simple docstring'''






import unittest

from transformers.models.xlm_prophetnet.tokenization_xlm_prophetnet import SPIECE_UNDERLINE, XLMProphetNetTokenizer
from transformers.testing_utils import get_tests_dir, require_sentencepiece, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


A_		:  Union[str, Any]		 =						get_tests_dir("fixtures/test_sentencepiece.model")
@require_sentencepiece
class 					__snake_case  (					__SCREAMING_SNAKE_CASE		,				unittest.TestCase							):






   '''simple docstring'''





   lowerCamelCase__    							=      XLMProphetNetTokenizer
   lowerCamelCase__    							=      False
   lowerCamelCase__    							=      True

   def 		__UpperCamelCase						(							self       ):
    super().setUp()

    # We have a SentencePiece fixture for testing
    snake_case__     :					List[str]    =  XLMProphetNetTokenizer(__SCREAMING_SNAKE_CASE	,		keep_accents=__SCREAMING_SNAKE_CASE       )
    tokenizer.save_pretrained(self.tmpdirname       )

   def 		__UpperCamelCase						(							self       ):
    snake_case__     :					Optional[int]    =  """[PAD]"""
    snake_case__     :					Dict    =  0

    self.assertEqual(self.get_tokenizer()._convert_token_to_id(__SCREAMING_SNAKE_CASE       )	,		__SCREAMING_SNAKE_CASE       )
    self.assertEqual(self.get_tokenizer()._convert_id_to_token(__SCREAMING_SNAKE_CASE       )	,		__SCREAMING_SNAKE_CASE       )

   def 		__UpperCamelCase						(							self       ):
    snake_case__     :					int    =  list(self.get_tokenizer().get_vocab().keys()       )

    self.assertEqual(vocab_keys[0]	,		"""[PAD]"""       )
    self.assertEqual(vocab_keys[1]	,		"""[CLS]"""       )
    self.assertEqual(vocab_keys[-1]	,		"""j"""       )
    self.assertEqual(len(__SCREAMING_SNAKE_CASE       )	,		1_0_1_2       )

   def 		__UpperCamelCase						(							self       ):
    self.assertEqual(self.get_tokenizer().vocab_size	,		1_0_1_2       )

   def 		__UpperCamelCase						(							self       ):
    snake_case__     :					Optional[Any]    =  XLMProphetNetTokenizer(__SCREAMING_SNAKE_CASE	,		keep_accents=__SCREAMING_SNAKE_CASE       )

    snake_case__     :					Union[str, Any]    =  tokenizer.tokenize("""This is a test"""       )
    self.assertListEqual(__SCREAMING_SNAKE_CASE	,		["""▁This""", """▁is""", """▁a""", """▁t""", """est"""]       )

    self.assertListEqual(
        tokenizer.convert_tokens_to_ids(__SCREAMING_SNAKE_CASE       )	,		[value + tokenizer.fairseq_offset for value in [2_8_5, 4_6, 1_0, 1_7_0, 3_8_2]]	,		)

    snake_case__     :					Optional[int]    =  tokenizer.tokenize("""I was born in 92000, and this is falsé."""       )
    self.assertListEqual(
        __SCREAMING_SNAKE_CASE	,		[
            SPIECE_UNDERLINE + """I""",
            SPIECE_UNDERLINE + """was""",
            SPIECE_UNDERLINE + """b""",
            """or""",
            """n""",
            SPIECE_UNDERLINE + """in""",
            SPIECE_UNDERLINE + """""",
            """9""",
            """2""",
            """0""",
            """0""",
            """0""",
            """,""",
            SPIECE_UNDERLINE + """and""",
            SPIECE_UNDERLINE + """this""",
            SPIECE_UNDERLINE + """is""",
            SPIECE_UNDERLINE + """f""",
            """al""",
            """s""",
            """é""",
            """.""",
        ]	,		)
    snake_case__     :					Tuple    =  tokenizer.convert_tokens_to_ids(__SCREAMING_SNAKE_CASE       )
    self.assertListEqual(
        __SCREAMING_SNAKE_CASE	,		[
            value + tokenizer.fairseq_offset
            for value in [8, 2_1, 8_4, 5_5, 2_4, 1_9, 7, -9, 6_0_2, 3_4_7, 3_4_7, 3_4_7, 3, 1_2, 6_6, 4_6, 7_2, 8_0, 6, -9, 4]
        ]	,		)

    snake_case__     :					Optional[Any]    =  tokenizer.convert_ids_to_tokens(__SCREAMING_SNAKE_CASE       )
    self.assertListEqual(
        __SCREAMING_SNAKE_CASE	,		[
            SPIECE_UNDERLINE + """I""",
            SPIECE_UNDERLINE + """was""",
            SPIECE_UNDERLINE + """b""",
            """or""",
            """n""",
            SPIECE_UNDERLINE + """in""",
            SPIECE_UNDERLINE + """""",
            """[UNK]""",
            """2""",
            """0""",
            """0""",
            """0""",
            """,""",
            SPIECE_UNDERLINE + """and""",
            SPIECE_UNDERLINE + """this""",
            SPIECE_UNDERLINE + """is""",
            SPIECE_UNDERLINE + """f""",
            """al""",
            """s""",
            """[UNK]""",
            """.""",
        ]	,		)

   @cached_property
   def 		__UpperCamelCase						(							self       ):
    return XLMProphetNetTokenizer.from_pretrained("""microsoft/xprophetnet-large-wiki100-cased"""       )

   @slow
   def 		__UpperCamelCase						(							self       ):
    snake_case__     :					Dict    =  """Hello World!"""
    snake_case__     :					str    =  [3_5_3_8_9, 6_6_7_2, 4_9, 2]
    self.assertListEqual(__SCREAMING_SNAKE_CASE	,		self.big_tokenizer.encode(__SCREAMING_SNAKE_CASE       )       )


   @slow
   def 		__UpperCamelCase						(							self       ):
    # fmt: off
    snake_case__     :					List[Any]    =  {"""input_ids""": [[1_1_0_7_3, 8_2_7_8_3, 1_8, 2_6, 8_2_7_8_3, 5_4_9, 5_1_5_4_0, 2_4_8, 1_7_2_0_9, 1_3_0_1, 2_1_7, 2_0, 2_1_5_1_8_6, 1_3_2_5, 1_4_7, 1_7_2_0_9, 1_3_0_1, 2_1_7, 2_0, 5_6_3_7_0, 5_3, 1_2_2_0_2_0, 2_0, 1_6_4_7_7, 2_7, 8_7_3_5_5, 4_5_4_8, 2_0, 4_7_2_8, 7_8_3_9_2, 1_7, 1_5_9_9_6_9, 1_8, 2_6, 2_4_4_9_1, 6_2_9, 1_5, 5_3_8, 2_2_7_0_4, 5_4_3_9, 1_5, 2_7_8_8, 2_4_4_9_1, 9_8_8_5, 1_5, 4_3_5_3_4, 6_0_5, 1_5, 8_1_4, 1_8_4_0_3, 3_3_2_0_0, 2_9, 1_5, 4_3_5_3_4, 2_4_4_5_8, 1_2_4_1_0, 1_1_1, 2_4_9_6_6, 8_3_6_6_9, 9_6_3_7, 1_4_4_0_6_8, 2_6, 8_5_0, 2_2_3_4_6, 2_7, 1_4_7, 2_4_9_6_6, 8_3_6_6_9, 8_3_4_9_0, 2_6, 3_9_1_1_3, 7_3_5, 2_7, 6_8_9, 6_5_6, 2_8_0_0, 1_3_3_9, 4_6_0_0, 5_3, 1_2_2_0_2_0, 1_1_5_7_8_5, 3_4, 8_1_6, 1_3_3_9, 4_6_8_8_7, 1_8, 1_4_7, 5_3_9_0_5, 1_9_5_1, 4_2_2_3_8, 4_1_1_7_0, 1_7_7_3_2, 8_3_4, 4_3_6, 1_5, 2_7_5_2_3, 9_8_7_3_3, 2_1_7, 1_4_7, 5_5_4_2, 4_9_8_1, 9_3_0, 1_7_3_4_7, 1_6, 2], [2_0_0_9_1, 6_2_9, 9_4, 8_2_7_8_6, 5_8, 4_9_0, 2_0, 1_5_2_8, 8_4, 5_3_9_0_5, 3_4_4, 8_0_5_9_2, 1_1_0_1_2_8, 1_8_8_2_2, 5_2_6_7, 1_3_0_6, 6_2, 1_5_2_5_3_7, 3_0_8, 7_9_9_7, 4_0_1, 1_2_4_4_2_7, 5_4_9, 3_5_4_4_2, 2_2_5, 1_0_9, 1_5_0_5_5, 2_5_7_4_8, 1_4_7, 7_1_1_9, 4_3_7_1_2, 3_4, 7_6_7, 1_3_5_3_6_6, 1_8, 1_6, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [5_9_2, 6_3_7_8_4, 1_1_9_4_6_6, 1_7, 1_4_7_8_0_8, 8_8_2_1_4, 1_8, 6_5_6, 8_1, 3_2, 3_2_9_6, 1_0_2_8_0, 1_6, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], """attention_mask""": [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
    # fmt: on

    self.tokenizer_integration_test_util(
        expected_encoding=__SCREAMING_SNAKE_CASE	,		model_name="""microsoft/xprophetnet-large-wiki100-cased"""	,		revision="""1acad1643ddd54a44df6a1b797ada8373685d90e"""	,		)








'''simple docstring'''


import argparse
import datetime







def      snake_case_  (    SCREAMING_SNAKE_CASE__	):







				"""simple docstring"""





				_SCREAMING_SNAKE_CASE					:			Optional[int]							= {
				    """0""": """Sunday""",
				    """1""": """Monday""",
				    """2""": """Tuesday""",
				    """3""": """Wednesday""",
				    """4""": """Thursday""",
				    """5""": """Friday""",
				    """6""": """Saturday""",
				}

				_SCREAMING_SNAKE_CASE					:			Optional[int]							= {0: 1, 1: 2, 2: 3, 3: 4, 4: 5, 5: 6, 6: 0}

				# Validate
				if not 0 < len(SCREAMING_SNAKE_CASE__	) < 11:
								raise ValueError("""Must be 10 characters long"""	)

				# Get month
				_SCREAMING_SNAKE_CASE					:			int							= int(date_input[0] + date_input[1]	)
				# Validate
				if not 0 < m < 13:
								raise ValueError("""Month must be between 1 - 12"""	)

				_SCREAMING_SNAKE_CASE					:			str							= date_input[2]
				# Validate
				if sep_a not in ["-", "/"]:
								raise ValueError("""Date separator must be '-' or '/'"""	)

				# Get day
				_SCREAMING_SNAKE_CASE					:			int							= int(date_input[3] + date_input[4]	)
				# Validate
				if not 0 < d < 32:
								raise ValueError("""Date must be between 1 - 31"""	)

				# Get second separator
				_SCREAMING_SNAKE_CASE					:			str							= date_input[5]
				# Validate
				if sep_a not in ["-", "/"]:
								raise ValueError("""Date separator must be '-' or '/'"""	)

				# Get year
				_SCREAMING_SNAKE_CASE					:			int							= int(date_input[6] + date_input[7] + date_input[8] + date_input[9]	)
				# Arbitrary year range
				if not 45 < y < 8500:
								raise ValueError(
								    """Year out of range. There has to be some sort of limit...right?"""	)

				# Get datetime obj for validation
				_SCREAMING_SNAKE_CASE					:			Optional[int]							= datetime.date(int(SCREAMING_SNAKE_CASE__	)				, int(SCREAMING_SNAKE_CASE__	)				, int(SCREAMING_SNAKE_CASE__	)	)

				# Start math
				if m <= 2:
								_SCREAMING_SNAKE_CASE					:			Union[str, Any]							= y - 1
								_SCREAMING_SNAKE_CASE					:			Optional[int]							= m + 12
				# maths var
				_SCREAMING_SNAKE_CASE					:			int							= int(str(SCREAMING_SNAKE_CASE__	)[:2]	)
				_SCREAMING_SNAKE_CASE					:			int							= int(str(SCREAMING_SNAKE_CASE__	)[2:]	)
				_SCREAMING_SNAKE_CASE					:			int							= int(2.6 * m - 5.3_9	)
				_SCREAMING_SNAKE_CASE					:			int							= int(c / 4	)
				_SCREAMING_SNAKE_CASE					:			int							= int(k / 4	)
				_SCREAMING_SNAKE_CASE					:			int							= int(d + k	)
				_SCREAMING_SNAKE_CASE					:			int							= int(t + u + v + x	)
				_SCREAMING_SNAKE_CASE					:			int							= int(z - (2 * c)	)
				_SCREAMING_SNAKE_CASE					:			int							= round(w % 7	)
				# End math

				# Validate math
				if f != convert_datetime_days[dt_ck.weekday()]:
								raise AssertionError("""The date was evaluated incorrectly. Contact developer."""	)

				# Response
				_SCREAMING_SNAKE_CASE					:			str							= f"""Your date {date_input}, is a {days[str(SCREAMING_SNAKE_CASE__	)]}!"""
				return response


if __name__ == "__main__":
				import doctest

				doctest.testmod()
				UpperCAmelCase_						:  Tuple				  =						argparse.ArgumentParser(
				    description=(
				        'Find out what day of the week nearly any date is or was. Enter '
				        'date as a string in the mm-dd-yyyy or mm/dd/yyyy format'
				    )
				)
				parser.add_argument(
				    'date_input', type=str, help='Date as a string (mm-dd-yyyy or mm/dd/yyyy)'
				)
				UpperCAmelCase_						:  List[Any]				  =						parser.parse_args()
				zeller(args.date_input)




